Candidatei-me por meio de recrutador(a). O processo levou 4 semanas. Fiz uma entrevista na empresa Chubb (Thessaloníki).
Entrevista
My interviewing for the position of Data Engineer was a 3-part process:
- HR
- Technical with the Line-Manager
- Hiring manager (Head of HR)
HR partners that interviewed me were pretty friendly. My Line Manager really knew his stuff, having a great conversation about projects I worked on and technologies. The Hiring Manager interview was testing my performance under pressure - so be prepared for that.
Overall a great experience.
Perguntas de entrevista [1]
Pergunta 1
- Why Chubb?
- Who are you in 5 words?
- What is a Garbage Collector in Python
Candidatei-me online. O processo levou 1 semana. Fui entrevistado pela Chubb (Bengaluru) em set. de 2025
Entrevista
Received a call from recruiter and scheduled a 30 mins virtual interview.
The interviewer concentrated completely on Data Modelling, Data Bricks, Azure. Coding was not tested in this round. The interview went smoothly and I was able to answer to most of the questions except for few, which i wasn't able to recollect at that time.
Perguntas de entrevista [1]
Pergunta 1
Azure
What is the difference between system assigned managed identity and user defined identity ?
What are the different methods to secure the data in a azure data lake storage ?
Data bricks
What is the difference between mounting and volumes ?
What are the different cluster types ?
What are the different ways of installing libraries ?
What is liquid clustering ?
What are the advantages and dis advantages of parquet files ?
Data Modelling
What is the difference between data lake and lakehouse ?
Types of dimensional modelling techniques?
Types of data architectures ?
difference between 2 tier and 3 tier architectures?
SQL
Different Query optimization techniques.
Query:
There are 2 tables 1. employee (columns: employee_id, employee_name) and 2. projects (columns: employee_id, project_id)
Write a query to get all the employees with no projects.
Small technical interview, then a on site interview to show coding abilities like sorting, hashing, SQL, graphs, sliding windows, trees bfs dfs. Then I was asked data engineering concepts like ETL elt , mapreduce